Trendora

Hierarchical routing

Assess

Techniques

Assigning subtasks to the smallest capable model based on task complexity.

Why it's here

Placed in Assess: 2 article(s) of evidence from 3 source(s), led by research-stage coverage, with 1 in the last 30 days. Confidence 45%.

Evidence (2)

  • 5Hugging Face Blog·7/15/2026research
    Model routing is harder than it looks

    Hugging Face features an IBM Research article arguing that routing requests across AI models is not just a classification problem. The piece shows that real-world cost, complexity, and latency depend on caching, execution flow, governance constraints, and serving infrastructure, not just model price or task difficulty.

  • 5Hacker News·7/4/2026research
    Cheaper Models Alone Won’t Fix AI Token Costs

    The article argues that the main cost problem in agentic AI is not just model price, but excessive token consumption across agent workflows. It highlights three approaches to lower spend: compressing context, routing simpler tasks to cheaper models, and using semantic caching to avoid repeating similar reasoning.